ABSTRACT:CUDA C is proven as an explicit GPU programming model
where the developer controls all aspects of memory management,
parallelization and device programming. There is consensus in the community that higher-level GPU programming models
based on directives or language extensions have significant value
for enabling GPU programming by domain experts. This BoF will
invite panelists to explore and debate the merits of several current options and approaches for high-level heterogeneous manycore programming.